David Norton

According to our database1, David Norton authored at least 14 papers between 2006 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2015
Accounting for Bias in the Evaluation of Creative Computational Systems: An Assessment of DARCI.
Proceedings of the Sixth International Conference on Computational Creativity, 2015

2014
Conveying Semantics through Visual Metaphor.
ACM Trans. Intell. Syst. Technol., 2014

Autonomously Managing Competing Objectives to Improve the Creation and Curation of Artifacts.
Proceedings of the Fifth International Conference on Computational Creativity, 2014

2013
Semantic Models as a Combination of Free Association Norms and Corpus-Based Correlations.
Proceedings of the 2013 IEEE Seventh International Conference on Semantic Computing, 2013

Autonomously Communicating Conceptual Knowledge Through Visual Art.
Proceedings of the Fourth International Conference on Computational Creativity, 2013

2011
The power of analysis and data.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Autonomously Creating Quality Images.
Proceedings of the Second International Conference on Computational Creativity, 2011

Fitness function: turning the loop inside out.
Proceedings of the 8th Conference on Creativity & Cognition, 2011

An artistic dialogue with the artificial.
Proceedings of the 8th Conference on Creativity & Cognition, 2011

2010
Improving liquid state machines through iterative refinement of the reservoir.
Neurocomputing, 2010

Establishing Appreciation in a Creative System.
Proceedings of the International Conference on Computational Creativity, 2010

2009
Improving the separability of a reservoir facilitates learning transfer.
Proceedings of the International Joint Conference on Neural Networks, 2009

Learning about creativity from an artificial artist.
Proceedings of the 7th Conference on Creativity & Cognition, Berkeley, 2009

2006
Preparing More Effective Liquid State Machines Using Hebbian Learning.
Proceedings of the International Joint Conference on Neural Networks, 2006


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